Mehtap Tunaci

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A novel fully automated system is introduced to facilitate lesion detection in dynamic contrast-enhanced, magnetic resonance mammography (DCE-MRM). The system extracts breast regions from pre-contrast images using a cellular neural network, generates normalized maximum intensity-time ratio (nMITR) maps and performs 3D template matching with three layers of(More)
OBJECTIVE The purpose of this study was to determine whether contrast enhancement features on 3D volumetric gradient-recalled echoMR images allow differentiation of benign from malignant solitary pulmonary nodules. MATERIALS AND METHODS Forty patients with solitary pulmonary nodules (range of greatest diameter, 7-40 mm) detected on CT underwent unenhanced(More)
A fully automated software is introduced to facilitate MR mammography (MRM) examinations and overcome subjectiveness in diagnosis using normalized maximum intensity-time ratio (nMITR) maps. These maps inherently suppress enhancements due to normal parenchyma and blood vessels that surround lesions and have natural tolerance to small field inhomogeneities(More)
Thirteen infants with congenital brachial plexus palsy (eight with upper, five with upper and lower) were monitored by magnetic resonance imaging (the first performed between 7 and 41 days of age and the second at 3 months of age), electromyography (the first performed between 27 and 50 days and the second at 3 months), and the muscle scoring system of the(More)
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